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Efficient and Precise CRISPR/Cas9-Mediated MECP2 Modifications in Human-Induced Pluripotent Stem Cells.

Thi Thanh Huong Le1, Ngoc Tung Tran2, Thi Mai Lan Dao1

  • 1Department of Gene Technology, Vinmec Research Institute of Stem Cell and Gene Technology, Hanoi, Vietnam.

Frontiers in Genetics
|July 24, 2019
PubMed
Summary

Researchers developed a CRISPR/Cas9 gene editing system to correct mutations in the methyl-CpG binding protein 2 (MECP2) gene. This approach shows promise for treating Rett syndrome (RTT) and modeling the disease using patient-derived cells.

Keywords:
CRISPR/Cas9MECP2 mutationsRETT syndromehomologous recombinationiPSCs

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Area of Science:

  • Genetics
  • Molecular Biology
  • Neuroscience

Background:

  • Rett syndrome (RTT) is a severe neurodevelopmental disorder caused by mutations in the methyl-CpG binding protein 2 (MECP2) gene.
  • MECP2 is an X-linked epigenetic factor essential for neuronal function, and current treatments for RTT are lacking.

Purpose of the Study:

  • To develop and validate a CRISPR/Cas9-based gene editing strategy for correcting MECP2 mutations.
  • To assess the efficiency of homologous recombination (HR) for MECP2 gene targeting in human cells and induced pluripotent stem cells (iPSCs).

Main Methods:

  • Utilized CRISPR/Cas9 technology to target and correct disease-relevant regions within the MECP2 gene, specifically exon 4.
  • Introduced a known pathogenic MECP2 mutation (R270X) into human iPSCs to create a disease model.
  • Employed homologous recombination (HR) to repair MECP2 mutations in patient-derived iPSCs.

Main Results:

  • Achieved homologous recombination (HR) efficiencies ranging from 20% to 30% in human cell lines and iPSCs.
  • Successfully repaired MECP2 mutations with high efficiency in human mutant iPSCs using the CRISPR/Cas9 system.

Conclusions:

  • Developed a novel CRISPR/Cas9 strategy for precise MECP2 gene targeting.
  • This approach offers a potential therapeutic avenue for Rett syndrome and facilitates the creation of iPSC-based disease models for further research.